Evidence map›Paper›PMID 24371824›Full record

ArticleBioMed research international2013

Algorithms of ancestral gene length reconstruction.

Alexander Bolshoy, Valery M Kirzhner

Abstract read
In one paragraph

Article in BioMed research international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Alexander BolshoyDepartment of Evolutionary and Environmental Biology, Institute of Evolution, University of Haifa, 199 Aba-Hushi Avenue, Mount Carmel, Haifa 3498838, Israel ; Institute of Evolution, University of Haifa, Mount Carmel., Haifa 39105, Israel.
Valery M KirzhnerThe Tauber Bioinformatics Center, University of Haifa, 199 Aba-Hushi Avenue, Mount Carmel, Haifa 3498838, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ancestral sequence reconstruction is a well-known problem in molecular evolution. The problem presented in this study is inspired by sequence reconstruction, but instead of leaf-associated sequences we consider only their lengths. We call this problem ancestral gene length reconstruction. It is a problem of finding an optimal labeling which minimizes the total length's sum of the edges, where both a tree and nonnegative integers associated with corresponding leaves of the tree are the input. In this paper we give a linear algorithm to solve the problem on binary trees for the Manhattan cost function s(v, w) = |π(v) - π(w)|.

Indexed as

Evolution, MolecularModels, TheoreticalAlgorithmsConserved SequenceSequence Analysis, DNA

Identifiers

PMID24371824
PMCPMC3858891

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.